Reverse Dependencies of wandb

The following projects have a declared dependency on wandb:

• icevision — Agnostic Computer Vision Framework
• image-classification-jax — Run image classification experiments in JAX with ViT, resnet, cifar10, cifar100, imagenette, and imagenet.
• img2dataset — Easily turn a set of image urls to an image dataset
• imgraph — Graph Neural Network Library Built On Top Of PyTorch and PyTorch Geometric
• imitation — Implementation of modern reward and imitation learning algorithms.
• impruver — Transformer based LLM trainer
• infinigen — Infinite Photorealistic Worlds using Procedural Generation
• instruct-goose — Implementation of Reinforcement Learning from Human Feedback (RLHF)
• instructlab — Core package for interacting with InstructLab
• interfusion-encoder — A package for training and inference of the InterFusion Encoder model
• interpolating-neural-networks — Interpolating Neural Networks in Asset Pricing Data. Supports Distributed Training in TensorFlow.
• ista-daslab-optimizers — Deep Learning optimizers developed in the Distributed Algorithms and Systems group (DASLab) @ Institute of Science and Technology Austria (ISTA)
• itwinai — AI and ML workflows module for scientific digital twins.
• ivadomed — Feature conditioning for IVADO medical imaging project.
• jamexp — Jam Experiment helper
• jammy — A Versatile ToolBox
• jaxmarl — Multi-Agent Reinforcement Learning with JAX
• jaxonmodels — JAX models for deep learning
• jdrones — Drones models prepared for use via the gymnasium environment
• jj-wingman — Wingman library for AI projects.
• JJukE — Framework for training Deep Learning networks by JJukE
• k-diffusion — Karras et al. (2022) diffusion models for PyTorch
• kagglerecipes — Useful code for different Kaggle competitions. Currently covering RSNA-MICCAI Brain Tumor Radiogenomic Classification Kaggle competition.
• kan-gpt — Awesome kan_gpt created by AdityaNG
• katara — custom dev/research toolkit by tensorkelechi
• kerch — Kernel Methods in PyTorch
• keytotext — Text Generation Using Keywords
• kinpal — Python client library for the Kinpal API
• kira_llm — That's right, I'm Kira ✍️
• kogito — A Python NLP Commonsense Knowledge Inference Toolkit
• koya-train — no summary
• koya-utilities — no summary
• kso-utils — A package containing utility scripts for use with KSO analysis notebooks.
• kubiki — kubiki
• l2hmc — L2HMC algorithm for sampling in Lattice QCD
• lagrangebench — LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
• laion-clap — Contrastive Language-Audio Pretraining Model from LAION
• langmo — toolbox for various tasks in the area of vector space models of computational linguistic
• langport — A large language model serving platform.
• latentsae — LatentSAE: Training and inference for SAEs on embeddings
• launcha — no summary
• lazyllm — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lazyllm-beta — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lbster — Language models for Biological Sequence Transformation and Evolutionary Representation.
• ldct-benchmark — A benchmark for deep learning-based low dose CT image denoising
• ldp — Agent framework for constructing language model agents and training on constructive tasks.
• leap-ie — Leap Labs Interpretability Engine
• leap-labs-test — Leap Labs Universal Interpretability Engine
• lens-vpr — LENS: Locational Encoding with Neuromorphic Systems
• lerobot — Le robot is learning
• levanter — Scalable Training for Foundation Models with Named Tensors and JAX
• LevDoom — LevDoom: A Generalization Benchmark for Deep Reinforcement Learning
• lightly-train — Train models with self-supervised learning in a single command
• lightning-bolts — Lightning Bolts is a community contribution for ML researchers.
• lightning-hpo — Lightning HPO
• lightning-template — A template wrapper for pytorch-lightning.
• lightning-training-studio — Lightning HPO
• lightray — Distribute a LightningCLI hyperparameter search with Ray Tune
• linktransformer — A friendly way to do link, aggregate, cluster and de-duplicate dataframes using large language models.
• liom-toolkit — Package to support the research of LIOM.
• llama-index-callbacks-wandb — llama-index callbacks wandb integration
• llamagym — Fine-tune LLM agents with online reinforcement learning
• llamatune — Haven's Tuning Library for LLM finetuning
• llava-torch — Towards GPT-4 like large language and visual assistant.
• llm-blender — LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths and weaknesses of multiple open-source large language models (LLMs). LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
• llm-lens — llm-lens is a Python package for CV as NLP, where you can run very descriptive image modules on images, and then pass those descriptions to a Large Language Model (LLM) to reason about those images.
• llm-toolkit — LLM Finetuning resource hub + toolkit
• llm4bi-embedder — Package including any embedder for the LLM4BI project
• llmtracer — LLMTracer: A tool to trace the execution of a program that uses LLMs and visualize the results.
• lm-buddy — Ray-centric library for finetuning and evaluation of (large) language models.
• lm-eval — A framework for evaluating language models
• lmflow-benchmark — LMFlow: Large Model Flow.
• lmflow-deploy — LMFlow: Large Model Flow.
• lmflow-diffusion — LMFlow: Large Model Flow.
• lmflow-eval — LMFlow: Large Model Flow.
• lmflow-evaluate — LMFlow: Large Model Flow.
• lmflow-evaluator — LMFlow: Large Model Flow.
• lmflow-finetune — LMFlow: Large Model Flow.
• lmflow-finetuner — LMFlow: Large Model Flow.
• lmflow-inference — LMFlow: Large Model Flow.
• lmflow-inferencer — LMFlow: Large Model Flow.
• lmflow-pretrain — LMFlow: Large Model Flow.
• lmflow-pretrainer — LMFlow: Large Model Flow.
• lmflow-vision — LMFlow: Large Model Flow.
• lmms-eval — A framework for evaluating large multi-modality language models
• localopenai — Python client library for the OpenAI API
• locpix — Package for analysing SMLM data
• longchat — LongChat and LongEval
• lpcML — LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells
• mace-torch — no summary
• macode — Package for Implementing MaCoDE
• maestror — no summary
• make-us-rich — Cryptocurrency forecasting 📈 training and serving models made automatic
• mantis-vl — Official Codes for of "MANTIS: Interleaved Multi-Image Instruction Tuning"
• marinedebrisdetector — A detector of marine debris with Sentinel-2 scenes
• marlben — Marlben is a multi-agent reinforcement learning benchmark based on the NeuralMMO game engine.
• mase-tools — Machine-Learning Accelerator System Exploration Tools
• massspecgym — MassSpecGym: A benchmark for the discovery and identification of molecules
• matbench-discovery — A benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures
• mbodied — Embodied AI